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Deep_Learning_Poker​_Player_using_MATLA​B_and_Raspberry_Pi

version 1.1.0 (295 KB) by Meeshawn Marathe
This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi. The poker-playing al

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Updated 25 Apr 2020

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This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi. The poker-playing algorithm consists of a deep learning network that predicts the cards, and a custom MATLAB algorithm that identifies ranked hands from the predictions and then makes bets like an actual player would. The algorithm can finally be deployed to a Raspberry Pi hardware.

For a detailed demonstration of the application, visit this link:

https://www.youtube.com/watch?v=RDGMdhoFPS0

Cite As

Meeshawn Marathe (2021). Deep_Learning_Poker_Player_using_MATLAB_and_Raspberry_Pi (https://github.com/mathworks/Deep_Learning_Poker_Player_Using_MATLAB_and_Raspberry_Pi/releases/tag/1.1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with R2020a and later releases
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.